Categorical Latent Gaussian Process
☆16Mar 7, 2015Updated 11 years ago
Alternatives and similar repositories for CLGP
Users that are interested in CLGP are comparing it to the libraries listed below
Sorting:
- Python implementation for Variational Bayesian Learning☆13Jan 23, 2014Updated 12 years ago
- Python Implementation of Quantile Random Forest Regression☆14Nov 5, 2014Updated 11 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Jun 20, 2014Updated 11 years ago
- Code and paper repository for the ICML paper "Learning population level diffusions with generative recurrent networks"☆11May 26, 2016Updated 9 years ago
- ☆11Jun 17, 2016Updated 9 years ago
- ☆17Sep 9, 2020Updated 5 years ago
- pyTorch variational autoencoder, with explainations☆11May 31, 2017Updated 8 years ago
- Implementation of Semi-AE-Rec (ICONIP 2017)☆11Aug 10, 2018Updated 7 years ago
- Demonstration of Jackknife Variational Inference for Variational Autoencoders, related to ICLR 2018 paper.☆22Feb 21, 2018Updated 8 years ago
- Code for HyPER: A Flexible and Extensible Probabilistic Framework for Hybrid Recommender Systems☆16Jun 2, 2016Updated 9 years ago
- Deep Gaussian Processes in matlab☆93Sep 14, 2021Updated 4 years ago
- (Theano) Implementations about deep neural network, recurrent neural network, LSTM, and structured learining.☆10Nov 9, 2016Updated 9 years ago
- Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018☆18Apr 13, 2021Updated 4 years ago
- ROS wrappers for the V4R library☆10Oct 3, 2017Updated 8 years ago
- ☆11Apr 23, 2024Updated last year
- ☆14Feb 8, 2016Updated 10 years ago
- Flask app to run a bandit algorithm testing different beer recommenders☆25Apr 7, 2014Updated 11 years ago
- Hawkes Point Processes in Python☆17Sep 7, 2013Updated 12 years ago
- 🤖🎥🇯🇵 ROSConJP 2019 presentation using Dolly and Simslides☆10Sep 25, 2019Updated 6 years ago
- Gaussian processes in TensorFlow with modifications to allow inter-domain inducing variables☆13Aug 11, 2017Updated 8 years ago
- Fast, easy and intuitive machine learning prototyping.☆124Jun 3, 2014Updated 11 years ago
- Dirichlet process mixture model code in Matlab. Sampling and variational.☆72Nov 4, 2012Updated 13 years ago
- Preconditioning Kernel Matrices☆15Jun 9, 2016Updated 9 years ago
- Infinite Gaussian Mixture Model / Variational EM☆12Nov 18, 2013Updated 12 years ago
- Python implementation of nonparametric nearest-neighbor-based estimators for divergences between distributions.☆48Mar 13, 2017Updated 9 years ago
- The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"☆19Sep 20, 2015Updated 10 years ago
- Variational Dirichlet Process Gaussian Mixture Models☆29Feb 2, 2015Updated 11 years ago
- Code for the ECIR'22 paper "Evaluating the Robustness of Retrieval Pipelines with Query Variation Generators"☆17Feb 2, 2022Updated 4 years ago
- Relational data mining in python☆32Nov 16, 2022Updated 3 years ago
- Code for "Training, Architecture, and Prior for Deterministic Uncertainty Methods" ICLR 2023 Workshop on Trustworthy ML☆12Jun 15, 2023Updated 2 years ago
- Simple implementation of dynamic movement primitives (DMP) in python☆11Jun 23, 2013Updated 12 years ago
- A collection of Black Box Variational Inference algorithms implemented in an object-oriented Python framework using Autograd.☆11Sep 7, 2018Updated 7 years ago
- ☆14Dec 8, 2022Updated 3 years ago
- Scalable inference for Correlated Topic Models☆31Mar 6, 2015Updated 11 years ago
- Stochastic variational heteroscedastic Gaussian process☆15Mar 29, 2019Updated 6 years ago
- Hierarchical Gaussian process latent variable model.☆18May 19, 2021Updated 4 years ago
- Playground for some RNN stuff in Torch.☆21Aug 12, 2015Updated 10 years ago
- Variational inference for Dirichlet process mixture models with multinomial mixture components.☆36Jan 15, 2014Updated 12 years ago
- Dynamic Time Warping algorithm for the Physionet Challenge 2016☆17Nov 10, 2016Updated 9 years ago